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ddokbaro
/
SillokBert-Scratch

Fill-Mask
Transformers
Safetensors
Korean
Literary Chinese
bert
text-generation
sillok
history
korean-history
classical-chinese
Model card Files Files and versions
xet
Community

Instructions to use ddokbaro/SillokBert-Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ddokbaro/SillokBert-Scratch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ddokbaro/SillokBert-Scratch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ddokbaro/SillokBert-Scratch")
    model = AutoModelForMaskedLM.from_pretrained("ddokbaro/SillokBert-Scratch")
  • Notebooks
  • Google Colab
  • Kaggle
SillokBert-Scratch / scripts
16.6 kB
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  • 1 contributor
History: 1 commit
ddokbaro's picture
ddokbaro
Upload 15 files
170de4d verified 11 months ago
  • 1_train_tokenizer.py
    2.84 kB
    Upload 15 files 11 months ago
  • 2_define_architecture.py
    2.14 kB
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  • 3_pretrain.py
    3.99 kB
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  • 4_evaluate_model.py
    2.9 kB
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  • 5_evaluate_baseline.py
    2.84 kB
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  • 6_export_logs.py
    1.85 kB
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